AP/PHIL3500 3.0 A: Ethics of Data Science
Offered by: PHIL
Session
Fall 2026
Term
F
Format
LECT
Calendar Description / Prerequisite / Co-Requisite
This course provides an introduction to ethical issues that arise from the application of data science, machine learning, and artificial intelligence to real world problems. The course begins with a brief introduction of traditional philosophical ethical theories, as well as concepts related to justice and equality, and then applies these theories and concepts to a range of data science topics.
Course Start Up
Course Websites hosted on York's "eClass" are accessible to students during the first week of the term. It takes two business days from the time of your enrolment to access your course website. Course materials begin to be released on the course website during the first week. To log in to your eClass course visit the York U eClass Portal and login with your Student Passport York Account. If you are creating and participating in Zoom meetings you may also go directly to the York U Zoom Portal.
For further course Start Up details, review the Getting Started webpage.
For IT support, students may contact University Information Technology Client Services via askit@yorku.ca or (416) 736-5800. Please also visit UIT Student Services or the Getting Help - UIT webpages.
- Academic Honesty
- Student Rights and Responsibilities
- Religious Observance
- Grading Scheme and Feedback
- 20% Rule
No examinations or tests collectively worth more than 20% of the final grade in a course will be given during the final 14 calendar days of classes in a term. The exceptions to the rule are classes which regularly meet Friday evenings or on Saturday and/or Sunday at any time, and courses offered in the compressed summer terms. - Academic Accommodation for Students with Disabilities
